William Sproviero

75 total papers · 4.2k total citations
22 papers, 511 citations indexed

About

William Sproviero is a scholar working on Neurology, Genetics and Molecular Biology. According to data from OpenAlex, William Sproviero has authored 22 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 9 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in William Sproviero's work include Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (9 papers) and RNA and protein synthesis mechanisms (3 papers). William Sproviero is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (11 papers), Neurogenetic and Muscular Disorders Research (9 papers) and RNA and protein synthesis mechanisms (3 papers). William Sproviero collaborates with scholars based in United Kingdom, Italy and United States. William Sproviero's co-authors include Ammar Al‐Chalabi, Ashley Jones, Aleksey Shatunov, Alejo Nevado‐Holgado, Karen Morrison, Ahmad Al Khleifat, Christopher E. Shaw, Pamela J. Shaw, Marco Fernandes and Danielle Newby and has published in prestigious journals such as Nature Medicine, Brain and Neurology.

In The Last Decade

William Sproviero

20 papers receiving 508 citations

Hit Papers

Integrating the environme... 2025 2026 2025 5 10 15 20 25

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William Sproviero 294 184 181 100 91 22 511
Kirsten Svenstrup 223 0.8× 120 0.7× 206 1.1× 127 1.3× 82 0.9× 28 554
Hannu Laaksovirta 267 0.9× 181 1.0× 111 0.6× 116 1.2× 43 0.5× 17 468
Viviana Pensato 278 0.9× 198 1.1× 180 1.0× 149 1.5× 85 0.9× 26 523
Martha F. Hanby 348 1.2× 163 0.9× 88 0.5× 115 1.1× 62 0.7× 13 513
Anna Ticca 214 0.7× 95 0.5× 105 0.6× 74 0.7× 46 0.5× 17 447
Mónica Povedano 355 1.2× 145 0.8× 184 1.0× 69 0.7× 143 1.6× 16 601
Kerstin E. Braunstein 264 0.9× 158 0.9× 269 1.5× 97 1.0× 129 1.4× 13 571
Theo Hatzipetros 300 1.0× 154 0.8× 172 1.0× 43 0.4× 62 0.7× 15 476
Masaaki Konagaya 118 0.4× 89 0.5× 208 1.1× 47 0.5× 77 0.8× 44 491
O. Garofalo 301 1.0× 117 0.6× 198 1.1× 113 1.1× 105 1.2× 13 525

Countries citing papers authored by William Sproviero

Since Specialization
Citations

This map shows the geographic impact of William Sproviero's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Sproviero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Sproviero more than expected).

Fields of papers citing papers by William Sproviero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Sproviero. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Sproviero. The network helps show where William Sproviero may publish in the future.

Co-authorship network of co-authors of William Sproviero

This figure shows the co-authorship network connecting the top 25 collaborators of William Sproviero. A scholar is included among the top collaborators of William Sproviero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William Sproviero. William Sproviero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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